metadata
language:
- 'no'
license: apache-2.0
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: scream_sextusdecimus_virtual_tsfix_small
results: []
scream_sextusdecimus_virtual_tsfix_small
This model is a fine-tuned version of openai/whisper-small on the NbAiLab/ncc_speech dataset. It achieves the following results on the evaluation set:
- step: 19999
- eval_loss: 0.2913
- train_loss: 0.6610
- eval_wer: 8.7151
- eval_cer: 3.8962
- eval_exact_wer: 8.7151
- eval_exact_cer: 3.8962
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- lr_scheduler_type: linear
- per_device_train_batch_size: 32
- total_train_batch_size_per_node: 128
- total_train_batch_size: 1024
- total_optimization_steps: 20,000
- starting_optimization_step: None
- finishing_optimization_step: 20,000
- num_train_dataset_workers: 32
- num_hosts: 8
- total_num_training_examples: 20,480,000
- steps_per_epoch: 11920
- num_beams: 5
- dropout: True
- bpe_dropout_probability: 0.1
- activation_dropout_probability: 0.1
Training results
| step | eval_loss | train_loss | eval_wer | eval_cer | eval_exact_wer | eval_exact_cer |
|---|---|---|---|---|---|---|
| 0 | 1.2807 | 3.0725 | 196.6092 | 157.4275 | 196.6092 | 157.4275 |
| 1000 | 0.5902 | 1.0592 | 15.1695 | 4.8382 | 15.1695 | 4.8382 |
| 2000 | 0.4240 | 0.8640 | 11.3623 | 3.9308 | 11.3623 | 3.9308 |
| 3000 | 0.4213 | 0.7930 | 9.4587 | 3.3537 | 9.4587 | 3.3537 |
| 4000 | 0.4353 | 0.7986 | 9.3694 | 3.5263 | 9.3694 | 3.5263 |
| 5000 | 0.4697 | 0.7580 | 9.7858 | 4.1478 | 9.7858 | 4.1478 |
| 6000 | 0.4535 | 0.7003 | 10.0238 | 4.2119 | 10.0238 | 4.2119 |
| 7000 | 0.4608 | 0.7296 | 8.8638 | 3.4228 | 8.8638 | 3.4228 |
| 8000 | 0.3902 | 0.7053 | 8.9233 | 3.6003 | 8.9233 | 3.6003 |
| 9000 | 0.3575 | 0.7124 | 9.3992 | 3.9702 | 9.3992 | 3.9702 |
| 10000 | 0.3648 | 0.6858 | 8.8043 | 3.4326 | 8.8043 | 3.4326 |
| 11000 | 0.3033 | 0.6916 | 9.1315 | 3.7236 | 9.1315 | 3.7236 |
| 12000 | 0.3021 | 0.7028 | 8.9827 | 3.6052 | 8.9827 | 3.6052 |
| 13000 | 0.2959 | 0.6567 | 8.6556 | 3.4918 | 8.6556 | 3.4918 |
| 14000 | 0.3055 | 0.6828 | 8.9827 | 3.6496 | 8.9827 | 3.6496 |
| 15000 | 0.2930 | 0.6707 | 8.8043 | 3.7976 | 8.8043 | 3.7976 |
| 16000 | 0.2822 | 0.6523 | 8.5068 | 3.5806 | 8.5068 | 3.5806 |
| 17000 | 0.2809 | 0.6581 | 8.6853 | 3.7828 | 8.6853 | 3.7828 |
| 18000 | 0.2927 | 0.6455 | 9.1315 | 4.2513 | 9.1315 | 4.2513 |
| 19000 | 0.2922 | 0.6369 | 9.1017 | 4.1034 | 9.1017 | 4.1034 |
| 19999 | 0.2913 | 0.6610 | 8.7151 | 3.8962 | 8.7151 | 3.8962 |
Framework versions
- Transformers 4.30.0.dev0
- Datasets 2.12.1.dev0
- Tokenizers 0.13.3